Abstract

Spatial variability management of soil chemical attributes is one of the approaches to be employed in the face of the constant challenge of increasing agricultural yield to meet world demand. In this sense, precision agriculture has as one of its tools the application of inputs at varying rates, which seeks to determine the ideal amount of fertilizer at each point of the crop, contrary to the conventional recommendation approach based on average values. In this context, this work studied the fertilizer recommendation methods used in site-specific nutrient management and the calculation methodologies for N, P, and K recommendations. For this purpose, a systematic literature study (SLS), consisting of systematic literature mapping, snowballing, and systematic literature review was performed. The analyzed studies were grouped into five domains (precision agriculture, soil fertility, site-specific nutrient application, fertilizer recommendation methods, and recommendation software for site-specific nutrient application). As a result, the SLS identified 12 methods for recommending N, nine for recommending P, and six for recommending K, in addition to five computer programs for precision agriculture that perform fertilizer recommendations at varying rates.

Highlights

  • Agriculture in Brazil and the world has to face an increase in world demand for food, as the world population will reach 8.5, 9.7, and 11.2 billion people in 2030, 2050, and 2100, respectively, according to projections by the United Nations (ONU, 2021)

  • The results showed that N's variable and uniform application strategies required less fertilizer and reached equivalent yield with higher nitrogenuse efficiency (NUE) than the single-dose pre-planting application

  • The methodology used by Systematic literature mapping (SLM) to reduce the volume of studies from reading titles and abstracts results in a significant reduction in the volume of final studies to be used for Systematic literature review (SLR), focusing only on studies of greater importance for the subject in question

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Summary

INTRODUCTION

Agriculture in Brazil and the world has to face an increase in world demand for food, as the world population will reach 8.5, 9.7, and 11.2 billion people in 2030, 2050, and 2100, respectively, according to projections by the United Nations (ONU, 2021). These authors found that P transport rates were heterogeneous due to local topographic and chemical variations in the soil The feasible of this management requires knowledge about the response of crops to applied inputs and the site-specific dynamics of nutrient transport (Lambert et al, 2007), as well as the spatial dependence of yield in the field (Bullock & Lowenberg‐DeBoer, 2007; Kahabka et al, 2004), providing increased efficiency of the production system and satisfying the economic and ecological demands of farmers (Beckie et al, 1997; Haneklaus & Schnug, 2000; Tola et al, 2008; Waring & Schlesinger, 1985). Systematic literature mapping (SLM) identifies studies in a given subject by choosing keywords and conducting database searches It is a bibliographic survey technique capable of assisting the researcher in carrying out a survey of published research in the area of interest, designed to give an overview of the studied area (Keele, 2007). The results found by cross-checking each keyword were exported in a spreadsheet format, and the information described in Table 1 was extracted

RESULTS
Recommendation Methods
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